Jianguo Xiao

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 9 papers; trusts 181 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 129 citations into it; #7,031 of 35,345 by trust here, #10,065 by citations
• Natural Language Processing — 99 citations into it; #1,372 of 5,688 by trust here, #2,263 by citations
• Computer Vision and Pattern Recognition — 37 citations into it; #5,461 of 21,575 by trust here, #13,815 by citations
• Representation & Self-Supervised Learning — 16 citations into it; #1,931 of 3,145 by trust here, #2,863 by citations
• Information Systems — 15 citations into it
• Information Retrieval & Search — 13 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Model Architectures — 11 citations into it

Whom Jianguo Xiao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Chin-Yew Lin
4. Diederik P. Kingma
5. Alex Graves
6. Dzmitry Bahdanau
7. Sepp Hochreiter
8. Christopher D. Manning
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Jianguo Xiao overall

1. Yuxin Peng
2. Kaiye Wang
3. Zhiyuan Liu
4. Xiangteng He
5. Corina Florescu
6. Kazi Saidul Hasan
7. Liangli Zhen
8. Reinald Kim Amplayo
9. Adrien Bougouin
10. Peng Hu

Papers from Jianguo Xiao's perspective

Ordered by how strongly the researchers Jianguo Xiao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Abstractive Document Summarization with a Graph-Based Attentional Neural Model (2017) — 303 citations
• Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning (2016) — 118 citations
• Attention-based LSTM Network for Cross-Lingual Sentiment Classification (2016) — 261 citations
• Recent advances in document summarization (2017) — 161 citations
• Phrase-based Compressive Cross-Language Summarization (2015) — 57 citations
• Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization (2014) — 275 citations
• Heterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval (2013) — 128 citations
• Cross-Language Document Summarization Based on Machine Translation Quality Prediction (2010) — 123 citations
• Single Document Keyphrase Extraction Using Neighborhood Knowledge (2008) — 537 citations